CN109828474A - Cloud intelligent environment management method and system based on big data - Google Patents
Cloud intelligent environment management method and system based on big data Download PDFInfo
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Abstract
The present invention relates to environmental management field, cloud intelligent environment management method and system based on big data are disclosed, method includes: behavioural analysis, according to the comfortable habit of everyone in big data analysis particular space；Identification, identification enter the personnel identity in the particular space；Environmental model is established, in conjunction with identification result and behavioural analysis as a result, establishing the environmental condition for being suitable for that current persons are comfortably accustomed in the particular space.It can combine definition of the occupant for comfort level in conjunction with the comfortable habit of occupant, automatic to establish the environmental condition for being suitable for occupant, improve the Experience Degree and comfort of occupant.
Description
Technical field
The present invention relates to environmental management fields, more particularly to the cloud intelligent environment management method based on big data and are
System.
Background technique
Big data refers to and can not be captured, managed and be handled with conventional software tool in the time range that can be born
Data acquisition system, emphasis are data, and big data provides break-up value, need successfully to analyze big data into due valence
Value；Cloud computing is to gather many use of information clouds, provides one and allows all usable service of many people, and cloud computing provides
Be use value.Both big data and cloud be it is inseparable, cloud generate data volume it is very huge, it is huge to allow
Data generate value just need big data analysis, therefore, utilize the system for being prejudged and being managed after the analysis to big data
It comes into being in every field.
Chinese invention patent if application publication number is CN108873729A discloses the artificial intelligence man based on big data
Habitat environment management system, by identification system, intelligent integrated communication system, sensing system, domestic environment terminal system, people
Work intelligent operation management system and cloud central processing unit composition, wherein after identification system identifies inhabitation people information, will pass
The inhabitation people environmental data that sensor system is collected is uploaded in artificial intelligence operation management system by intelligent integrated communication system
Data analysis layer, thus established in the model layer in artificial intelligence operation management system inhabitation people it is exclusive " temperature-is wet
Degree " model improves user residence using a kind of artificial intelligence domestic environment management system based on big data disclosed by the invention
Comfort level when firmly, it is ensured that the air quality safety in house space can be saved greatly in domestic environment equipment use process
Energy expenditure.
But above-mentioned technical proposal lacks the comfortable habit for combining inhabitation personnel, the exclusive " temperature of the inhabitation people established
The theoretical value that degree-humidity " model is made merely by the factor to objective environment, therefore, experience sense is to be improved.
Summary of the invention
To solve the above-mentioned problems, an object of the present disclosure is to provide a kind of cloud intelligent environment pipe based on big data
Reason method can combine definition of the occupant for comfort level in conjunction with the comfortable habit of occupant, automatic establish is suitable for
The environmental condition of occupant improves the Experience Degree and comfort of occupant.
Foregoing invention purpose is achieved through the following technical solutions:
Cloud intelligent environment management method based on big data, comprising:
Behavioural analysis, according to the comfortable habit of everyone in big data analysis particular space；
Identification passes through GPS or wifi or Bluetooth matching based on the mobile terminal that the personnel for entering the particular space carry
Connection, identification enter the personnel identity in the particular space；
Environmental model is established, is suitable for working as forefathers in the particular space as a result, establishing in conjunction with identification result and behavioural analysis
The environmental condition that member is comfortably accustomed to.
By using above-mentioned technical proposal, under original state, the identity information of all personnel first in typing particular space
To be stored, identity information based on enter the particular space personnel carry mobile terminal, including GPS or wifi or
The identification label of bluetooth；
Under original state, the comfortable habit parameter of nobody person manually adjusts environment after needing personnel to match identity information
Condition, while the behavior of personnel is counted and analyzed, gradually form the comfortable habit of everyone；
After everyone for the first time typing, when authorized personnel enter the particular space, automatic searching identification label and with deposit in advance
The information of storage is compared；
When the personnel that identification enters the particular space are to be authorized to personnel, then the comfortable habit of the personnel is transferred, and according to easypro
Therefore suitable habit, which establishes the vertical environmental condition being comfortably accustomed to suitable for current persons in the particular space, can combine occupant
Comfortable habit, that is, combine definition of the occupant for comfort level, it is automatic to establish the environmental condition for being suitable for occupant, improve and occupy
Experience Degree and comfort firmly.
In some embodiments, as unit of personnel, when the comfortable habit includes: different in the particular space
Between section comfort temperature and comfort humidity.
By using above-mentioned technical proposal, general human body obtains the directly perception of environment by temperature and humidity,
It is typically also by adjusting temperature and humidity to reach the comfortable environment of body-sensing, therefore, by obtaining comfort temperature and comfortable temperature
Degree can rapidly obtain the comfortable habit of personnel.
In some embodiments, the behavioural analysis specific method includes:
S101: by comfort temperature and comfort humidity be respectively defined as temperature vector (A [1], A [2] ..., A [N]) and humidity to
Measure (B [1], B [2] ..., B [N]), wherein the coordinate A [1] of temperature vector, A [2] ..., A [N] it is corresponding according to comfortable temperature
The vector characteristics of the characterizing definition distribution of degree, the coordinate B [1] of humidity vector, B [2] ..., B [N] are corresponding according to comfort humidity
Characterizing definition distribution vector characteristics；
S102: the cluster of comfort temperature is obtained according to the similitude of comfort temperature, is obtained comfortably according to the similitude of comfort humidity
The cluster of humidity.
By using above-mentioned technical proposal, comfort temperature and comfort humidity are indicated by way of vector, and according to
The positional relationship of the space coordinate of amount is quickly obtained the cluster of comfort temperature and comfort humidity, then vector close to each other is corresponding
Comfort temperature be similar comfort temperature, the corresponding comfort humidity of vector close to each other be similar comfort humidity.
In some embodiments, in the S101, the coordinate of each temperature vector includes period and temperature section two
A vector characteristics, the coordinate of each humidity vector include two vector characteristics of period and humidity section；It is special to define each vector
The section of sign is [0,100].
By using above-mentioned technical proposal, each comfort temperature vector and comfort humidity vector and period have been contacted
Come, to obtain the relationship of comfort temperature and comfort humidity and period.
In some embodiments, period feature mapped to section according to 24 hours periods processed, wherein 0 when representing 0,
50 when representing 12, and 100 when representing 24；
Temperature section feature maps to section for 0-60 DEG C, wherein 0 represents 0 DEG C, 25 represent 15 DEG C, and 50 represent 30 DEG C, and 75 represent 45
DEG C, 100 represent 60 DEG C.
By using above-mentioned technical proposal, depend on the position of comfort temperature vector and comfort humidity vector spatially
Period feature and temperature section feature or humidity section feature, specify comfort temperature, comfort humidity and period relationship.
In some embodiments, in the S102, judged between any comfort temperature by the way of spherical K-means and appointed
Similitude between comfort humidity of anticipating, i.e., measured, cosine between any two message vector using cosine size between two vectors
Angle is smaller then more similar, to analyze the comfortable habit of everyone.
By using above-mentioned technical proposal, the phase of comfort temperature vector and comfort humidity vector can be more easily obtained
Like property.
In some embodiments, the comfortable habit further includes that everyone enters the time of the particular space and leaves
The time of the particular space.
By using above-mentioned technical proposal, the time of the particular space is entered according to everyone and leaves the specific sky
Between time formed it is automatic " available machine time " and automatic " unused time ", to carry out ring in advance before personnel enter particular space
The adjusting of border condition further increases comfort so as to shorten transit time, while can be avoided personnel and forgeing shutdown, saves
Energy expenditure in domestic environment equipment use process.
In some embodiments, before establishing environmental model further include:
Meteorological data collection obtains the meteorological data of the particular space, including current weather data, 2-12 hours future meteorology
Data, the meteorological data include temperature data, humidity data, weather condition data and air quality data；
Real time environment monitoring, monitors the temperature data, humidity data and air quality data of the particular space.
Environmental condition not only includes temperature and humidity, further includes the data such as air quality and nature's mystery situation, by adopting
With above-mentioned technical proposal, current environmental condition can be carried out in time according to current and following 2-12 hour meteorological data
Adjustment, mainly adjusts indoor air quality, to improve comfort and health degree.
The second object of the present invention is to provide a kind of cloud intelligent environment management system based on big data, can tie
The comfortable habit and current and following meteorological data of occupant are closed, it is automatic to establish the environmental condition for being suitable for occupant, it mentions
The Experience Degree and comfort of high occupant.
Foregoing invention purpose is achieved through the following technical solutions:
Cloud intelligent environment management system based on big data, comprising:
Storage unit with the identity information of all personnel in typing and storage particular space, while storing comfortable habits information；
Identity recognizing unit is connect with the storage unit, with search enter particular space identity information, and with the storage
The identity information of element memory storage is compared；
Habit statistical unit is connect with the identity recognizing unit and storage unit, to match the identity information of everyone, and it is right
The comfortable habit of everyone should be counted, to store into the storage unit；
Habit transfers unit, connect with the identity recognizing unit and storage unit, is being matched to the identity into particular space
When information, corresponding comfortable habit is transferred automatically；
Environmental modeling unit is transferred unit with the habit and is connect, and in conjunction with the corresponding comfortable habit of occupant, is suitable for establishing
Air-conditioning system in the environmental condition of occupant, the environmental modeling unit and particular space, humidity control system, air cleaning
System communication connection.
By using above-mentioned technical proposal, when the personnel that identity recognizing unit identification enters the particular space are licensee
When member, then unit is transferred by habit and transfer the comfortable habit for changing personnel from storage unit, and according to comfortable habit, using ring
Border modeling unit combination identification result and behavioural analysis are comfortably practised as a result, establishing and being suitable for current persons in the particular space
Used environmental condition.Therefore, definition of the occupant for comfort level can be combined, automatically in conjunction with the comfortable habit of occupant
The environmental condition for being suitable for occupant is established, the Experience Degree and comfort of occupant are improved.
In some embodiments, further includes:
Time marking unit is connect with the storage unit and the identity recognizing unit respectively, the time marking unit with
Label everyone enters the time of the particular space and leaves the time of the particular space；
Cloud server is connect with the environmental modeling unit, to acquire and store current weather data, the future 2-12 of authorization
Hour meteorological data；
Sensing unit is connect with the environmental modeling unit, including being distributed and temperature sensor, the humidity sensor in particular space
Device and air quality monitoring equipment.
By using above-mentioned technical proposal, meteorological data is acquired by cloud server, it can be according to current and future
2-12 hour meteorological data, by obtaining current environment parameter in particular space by sensing unit, in time to working as front ring
Border condition is adjusted, and mainly adjusts indoor air quality, to improve comfort and health degree.
In conclusion the cloud intelligent environment management method and system and the prior art provided by the invention based on big data
Compared to having the advantage that
1. being analyzed by the comfortable habit to occupant, the definition in conjunction with occupant for comfort level, automatic establish is suitble to
In the environmental condition of occupant, the Experience Degree and comfort of occupant are improved；
2. forming automatic " booting by the time for entering the particular space to occupant and the time for leaving the particular space
Time " and automatic " unused time ", shortens transit time, further increases comfort, while can be avoided personnel and forgeing shutdown,
Save the energy expenditure in domestic environment equipment use process；
3., can be according to current and following 2-12 hour meteorological data, in time to current by the acquisition to meteorological data
Environmental condition is adjusted, and mainly adjusts indoor air quality, to improve comfort and health degree.
Detailed description of the invention
Fig. 1 is the cloud intelligent environment management system module structural schematic diagram provided by the invention based on big data.
In figure: 1, storage unit；2, identity recognizing unit；3, habit statistical unit；4, habit transfers unit；5, environment is built
Form unit；6, time marking unit；7, cloud server；8, sensing unit.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
The present invention discloses cloud intelligent environment management methods and system based on big data, as shown in Figure 1, system packet
It includes:
Storage unit 1 with the identity information of all personnel in typing and storage particular space, while being stored by after behavioural analysis
The comfortable habits information of statistics；In this embodiment of the invention, identity information is carried based on the personnel for entering particular space
Mobile terminal, the identification label including GPS or wifi or bluetooth；
Identity recognizing unit 2 is connect with storage unit 1, with search enter particular space mobile terminal identification label, and with
The identity information stored in storage unit 1 is compared；
Habit statistical unit 3 is connect with identity recognizing unit 2 and storage unit 1, to match the identity information of everyone, and it is right
The comfortable habit of everyone should be counted, to store into storage unit 1；
Habit transfers unit 4, connect with the identity recognizing unit 2 and storage unit 1, is being matched to the shifting into particular space
When dynamic terminal, adjusts automatically and corresponding take comfortable habit；
Environmental modeling unit 5 is transferred unit 4 with the habit and is connect, and in conjunction with the comfortable habit of occupant, is suitble to being formed to establish
Air-conditioning system in the environmental condition of occupant, environmental modeling unit 5 and particular space, humidity control system, air cleaning
System communication connection.
Cloud intelligent environment management method based on big data are as follows:
Under original state, first into storage unit 1 in typing particular space the identity information of all personnel to store,
The mobile terminal that identity information is carried based on the personnel for entering the particular space, the identification mark including GPS or wifi or bluetooth
It signs, under original state, the comfortable habit parameter of nobody person needs personnel to match identity information first, then adjusts manually
Environmental condition is saved, that is, manually adjusts the air-conditioning system in particular space, humidity control system, air cleaning system is to oneself being suitble to
Think that comfortable environment is adjusted, in the process, habit statistical unit 3 is counted and is analyzed to the behavior of personnel, gradually
The comfortable habit for forming everyone, as unit of personnel, comfortable habit includes: in different time periods in the particular space relaxes
Thermophilic degree and comfort humidity.
Wherein, the method that habit statistical unit 3 is counted and analyzed to the behavior of personnel is according to big data analysis spy
The comfortable habit for determining everyone in space specifically includes:
S101: by comfort temperature and comfort humidity be respectively defined as temperature vector (A [1], A [2] ..., A [N]) and humidity to
Measure (B [1], B [2] ..., B [N]), wherein the coordinate A [1] of temperature vector, A [2] ..., A [N] it is corresponding according to comfortable temperature
The vector characteristics of the characterizing definition distribution of degree, the coordinate of each temperature vector includes two vector spies of period and temperature section
Sign, the coordinate B [1] of humidity vector, B [2] ..., the corresponding vector distributed according to the characterizing definition of comfort humidity of B [N] are special
Sign, the coordinate of each humidity vector includes two vector characteristics of period and humidity section.Define the section of each vector characteristics
For [0,100], period feature mapped to section according to 24 hours periods processed, wherein 0 when representing 0,50 when representing 12, and 100
When representing 24；Temperature section feature maps to section for 0-60 DEG C, represents 15 DEG C wherein 0 represents 0 DEG C, 25, and 50 represent 30 DEG C, and 75
45 DEG C are represented, 100 represent 60 DEG C.One comfort temperature or comfort humidity can such as be indicated according to above-mentioned mapping process
For vector M (20,25), so, for any comfort temperature or comfort humidity, it may be expressed as vector.
S102: the cluster of comfort temperature is obtained according to the similitude of comfort temperature, is obtained according to the similitude of comfort humidity
The cluster of comfort humidity.Method particularly includes:
The similitude between any comfort temperature and between any comfort humidity is judged by the way of spherical K-means, that is, uses two
Cosine size is measured between vector, and cosine angle is smaller then more similar between any two message vector, to analyze everyone
Comfortable habit.
When the personnel that the identification of identity recognizing unit 2 enters the particular space are to be authorized to personnel, then transferred by habit
Unit 4 transfers the comfortable habit for changing personnel from storage unit 1, and according to comfortable habit, combines body using environmental modeling unit 5
Part recognition result and behavioural analysis are as a result, establish the environmental condition for being suitable for that current persons are comfortably accustomed in the particular space.Cause
This can combine definition of the occupant for comfort level in conjunction with the comfortable habit of occupant, automatic establish is suitable for occupant
Environmental condition, improve the Experience Degree and comfort of occupant.
As shown in Figure 1, further including time label the present invention discloses the cloud intelligent environment management system based on big data
Unit 6 is connect with storage unit 1 and identity recognizing unit 2 respectively, with mark everyone enter the particular space time and
Leave the particular space time formed it is automatic " available machine time " and automatic " unused time ", to form one be comfortably accustomed to
Part carries out the adjusting of environmental condition in advance before personnel enter particular space, so as to shorten transit time, further increases easypro
Suitable sense, while can be avoided personnel and forgeing shutdown, save the energy expenditure in domestic environment equipment use process.
As shown in Figure 1, further including cloud service the present invention discloses the cloud intelligent environment management system based on big data
Device 7, wherein environmental modeling unit 5 is connected to cloud server 7, be stored in cloud server 7 authorization current weather data,
The following 2-12 hours meteorological data, wherein meteorological data includes temperature data, humidity data, weather condition data and air matter
Data are measured, while further including sensing unit 8 and environmental modeling unit 5, sensing unit 8 includes distribution and the temperature in particular space
Sensor, humidity sensor and air quality monitoring equipment, environmental condition not only include temperature and humidity, further include air matter
Therefore the data such as amount and nature's mystery situation acquire meteorological data by cloud server 7, can be according to current and following
2-12 hours meteorological datas, by obtaining current environment parameter in particular space by sensing unit 8, in time to current environment
Condition is adjusted, and mainly adjusts indoor air quality, to improve comfort and health degree.
The embodiment of present embodiment is presently preferred embodiments of the present invention, not limits protection of the invention according to this
Range, therefore: the equivalence changes that all structures under this invention, shape, principle are done, should all be covered by protection scope of the present invention it
It is interior.
Claims (10)
1. the cloud intelligent environment management method based on big data characterized by comprising
Behavioural analysis, according to the comfortable habit of everyone in big data analysis particular space；
Identification passes through GPS or wifi or Bluetooth matching based on the mobile terminal that the personnel for entering the particular space carry
Connection, identification enter the personnel identity in the particular space；
Environmental model is established, is suitable for working as forefathers in the particular space as a result, establishing in conjunction with identification result and behavioural analysis
The environmental condition that member is comfortably accustomed to.
2. the cloud intelligent environment management method according to claim 1 based on big data, which is characterized in that be with personnel
Unit, the comfortable habit includes: comfort temperature and comfort humidity in different time periods in the particular space.
3. the cloud intelligent environment management method according to claim 2 based on big data, which is characterized in that the behavior
Analyzing specific method includes:
S101: by comfort temperature and comfort humidity be respectively defined as temperature vector (A [1], A [2] ..., A [N]) and humidity to
Measure (B [1], B [2] ..., B [N]), wherein the coordinate A [1] of temperature vector, A [2] ..., A [N] it is corresponding according to comfortable temperature
The vector characteristics of the characterizing definition distribution of degree, the coordinate B [1] of humidity vector, B [2] ..., B [N] are corresponding according to comfort humidity
Characterizing definition distribution vector characteristics；
S102: the cluster of comfort temperature is obtained according to the similitude of comfort temperature, is obtained comfortably according to the similitude of comfort humidity
The cluster of humidity.
4. the cloud intelligent environment management method according to claim 3 based on big data, which is characterized in that the S101
In, the coordinate of each temperature vector includes two vector characteristics of period and temperature section, and the coordinate of each humidity vector wraps
Include two vector characteristics of period and humidity section；The section for defining each vector characteristics is [0,100].
5. the cloud intelligent environment management method according to claim 4 based on big data, which is characterized in that
Period feature mapped to section according to 24 hours periods processed, wherein 0 when representing 0,50 when representing 12, and 100 represent 24
When；
Temperature section feature maps to section for 0-60 DEG C, wherein 0 represents 0 DEG C, 25 represent 15 DEG C, and 50 represent 30 DEG C, and 75 represent 45
DEG C, 100 represent 60 DEG C.
6. the cloud intelligent environment management method according to claim 5 based on big data, which is characterized in that the S102
In, judge the similitude between any comfort temperature and between any comfort humidity by the way of spherical K-means, i.e., using two to
Cosine size is measured between amount, and cosine angle is smaller then more similar between any two message vector, to analyze everyone's
Comfortable habit.
7. the cloud intelligent environment management method according to claim 2 or 6 based on big data, which is characterized in that described
Comfortable habit further includes that everyone enters the time of the particular space and leaves the time of the particular space.
8. the cloud intelligent environment management method according to claim 7 based on big data, which is characterized in that establishing ring
Before the model of border further include:
Meteorological data collection obtains the meteorological data of the particular space, including current weather data, 2-12 hours future meteorology
Data, the meteorological data include temperature data, humidity data, weather condition data and air quality data；
Real time environment monitoring, monitors the temperature data, humidity data and air quality data of the particular space.
9. the cloud intelligent environment management system based on big data characterized by comprising
Storage unit (1) with the identity information of all personnel in typing and storage particular space, while storing comfortable habit letter
Breath；
Identity recognizing unit (2) is connect with the storage unit (1), with search enter particular space identity information, and with institute
The identity information stored in storage unit (1) is stated to be compared；
Habit statistical unit (3) is connect with the identity recognizing unit (2) and storage unit (1), to match the identity of everyone
Information, and the comfortable habit of corresponding statistics everyone, to store into the storage unit (1)；
Habit transfers unit (4), connect with the identity recognizing unit (2) and storage unit (1), is being matched into specific sky
Between identity information when, transfer corresponding comfortable habit automatically；
Environmental modeling unit (5) is transferred unit (4) with the habit and is connect, in conjunction with the corresponding comfortable habit of occupant, to establish
It is suitable for the environmental condition of occupant, the air-conditioning system in the environmental modeling unit (5) and particular space, humidity regulation system
System, air cleaning system communication connection.
10. the cloud intelligent environment management system according to claim 9 based on big data, which is characterized in that further include:
Time marking unit (6) is connect with the storage unit (1) and the identity recognizing unit (2) respectively, the time mark
Note unit (6) is to mark everyone to enter the time of the particular space and leave the time of the particular space；
Cloud server (7) is connect with the environmental modeling unit (5), to acquire and store the current weather data, not of authorization
Carry out 2-12 hours meteorological datas；
Sensing unit (8) is connect with the environmental modeling unit (5), including being distributed and the temperature sensor, wet in particular space
Spend sensor and air quality monitoring equipment.
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| CN108829074A (en) * | 2018-08-28 | 2018-11-16 | 上海上品上生智能科技有限公司 | A kind of artificial intelligence domestic environment system control method based on big data |
| CN108873729A (en) * | 2018-08-28 | 2018-11-23 | 上海上品上生智能科技有限公司 | Artificial intelligence domestic environment management system based on big data |
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